{
  "id": "lib-skill:scientific-discovery--time-series-analyzer",
  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "time-series-analyzer",
    "description": "Skill for time series analysis and forecasting",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/skills/time-series-analyzer/SKILL.md",
    "specialization": "scientific-discovery",
    "contentSummary": "# Time Series Analyzer Skill\n\n## Purpose\n\nAnalyze time series data for trends, seasonality, and patterns, and generate forecasts using appropriate methods.\n\n## Capabilities\n\n- Decompose time series\n- Identify patterns\n- Fit ARIMA models\n- Generate forecasts\n- Assess stationarity\n- Evalu"
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